Fixed SAP operating time of the machine / system is the time at which the machine / system will be used. For example, 3 shift per working day from Monday 6:00 a.m. to Friday 10:00 p.m. Then there are 6,720 minutes of production.
Calculation formula of OEE Institute / describing feature availability
Downtime is the OEE SAP sum of all machine / system malfunctions during this period. Example takes 1,680 minutes. Then the calculation ((6.720 Min. – 1.680 Min.) / 6.720 Min.) Resulted in a finding factor of 0.75 and multiplied by 100 is 75%.
In the case of an OEE (Overall Equipment Efficiency) break, scheduled maintenance should be included, unless this is done outside of the scheduled time, for example Saturday. A maintenance plan can help with this. Setup times should also be included, as well as waiting times due to lack of items. In order to see progress here, managers should define a critical KPI value to see how well equipment is progressing in terms of availability.
Get to Know definition OEE(Overall equipment effectiveness) Formula number / strength factor defination:
The calculated cycle time is the time the task scheduler or refereeing department has designated as the time period called the episode SAP. At the moment of determination, it is the best time when a piece of work can be produced.
Machine SAP operation is the time the machine works to produce a production facility. Machine operation is the time when the entire production area was produced.
Now the calculated SAP cycle time is multiplied by the output value. This time is then divided by the operating time of the machine. And that’s 100 times that, you find out what% of time the machine produces.
For example, the calculated cycle time is 50 seconds. 500 pieces were made. So 50 X 500 seconds 25,000 seconds or 6.94 hours.
The machine worked for 8 hours.
This triggers OEE performance
Aspect of easy oee 6.94 hours / 8 hours X 100 = 86.8%, it would also make sense to determine the key KPI value of this feature.
Formula calculation / quality feature description:
A good cloud software value is the amount of parts that can be reused. Therefore quality SAP dashboard control is approved. And 25 pieces were blocked.
For example, 500 pieces were produced. Twenty-five of them were sorted out. So there are 475 pieces left as good parts.
And 475/500 x100 is 95%.
And now they can wiki it or calculate the availability of the entire system.
0.75 (75% availability factor) X 0.868 (86.8% power factor) X 0.95 (95% quality factor) results in 0.61845 or 61.845%.
As they can see, determining the critical value of Good Equipment Performance is not so difficult. So baby play?
Well, because OEE Institute in order to be able to do the right calculations, you need current reliable data from production and reliable reliable data from ERP. In the first step, they consider how many parts of it are in stock over time to be tested (e.g., working week) submitted excel. Repetition of stated or scheduled times results in a complete system acquisition of corresponding time. And in the example above that would be 61.845%. How is this happening now? This performance OEE loss can be catastrophic, so let’s look at the quality aspect first. They create an analysis of all production orders for the period to be tested. They find good and bad parts in quality control.
But the calculate factor is not enough, now it is necessary to determine why the components are rejected in quality control. We also get a list of how many and as a result of which deviations are filtered. Now is the time to analyze performance benchmark why there has been a change. It is recommended that it involve employees, to develop solutions to deviations in the future. For example, use different tools or a different processing order. The goal should be to get this feature closer to 100%. This exposure raises awareness of the need to pay close attention to unusual objects during production. It is recommended that it involve employees, to develop solutions to deviations in the future.
For example, use different tools or a different processing order. The institute goal should be to get this feature closer to 100%. This exposure raises awareness of the need to pay more attention to atypical material during production. It is recommended that it involve employees, to develop solutions to deviations in the future. For example, pdf use different tools or a different processing order. The goal should be to get this feature closer to 100%. This exposure calculator raises awareness of the need to pay more attention to atypical material during production.
